220 Reporting Specialist jobs in Bahrain

• Prepare and review journal entries, account reconciliations, and general ledger maintenance.
• Lead the month-end and year-end closing processes, ensuring all deadlines are met.
• Assist in the preparation of accurate and timely financial statements in accordance with IFRS/GAAP.
• Analyze financial data, identify trends, and provide insightful commentary to management.
• Support internal and external audits by preparing necessary documentation and providing explanations.
• Develop and implement accounting policies and procedures to enhance internal controls and operational efficiency.
• Assist with budgeting and forecasting activities.
• Stay updated on changes in accounting regulations and standards.
• Collaborate with cross-functional teams to ensure accurate financial data capture.
• Utilize accounting software and ERP systems to their full potential.

• Bachelor's degree in Accounting or Finance.
• Professional certification (e.g., CPA, ACCA) is highly preferred.
• Minimum of 5 years of progressive accounting experience.
• Demonstrated expertise in financial reporting and accounting principles (IFRS/GAAP).
• Proficiency in accounting software (e.g., QuickBooks, SAP, Oracle) and advanced Excel skills.
• Strong analytical, problem-solving, and organizational abilities.
• Excellent communication and interpersonal skills, essential for remote collaboration.
• Ability to manage multiple priorities and meet strict deadlines in a remote setting.
• Experience with financial analysis, budgeting, and forecasting.
• Proactive and self-motivated with a strong work ethic.

VAM Systems is a Business Consulting, IT Solutions and Services company.

VAM Systems is currently looking for
Business Intelligence Engineer

for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

·   Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

·   Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience

: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

·   Advanced expertise in data visualization and statistical plotting using tools such as Power

·   BI, Python, and Matlab.

·   Strong command of SQL for querying, data modeling, and ETL development.

·   Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.

·   Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.

·   Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

·   Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.

·   Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.

·   Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

·   Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.

·   Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and

·   derive actionable insights that support strategic decision-making.

·   Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize

·   queries for performance and scalability.

·   Communication & Presentation: Excellent verbal and written communication skills, with the ability to present

·   complex data findings clearly and persuasively to both technical and non-technical stakeholders.

·   Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and

·   adaptable mindset in fast-paced environments.

Languages:

·   English

·   Arabic

Terms and conditions

Joining time frame: days)

The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading
Banks
in Bahrain.

Should you be interested in this opportunity, please send your latest resume at the earliest

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Qualifications:

• Bachelor s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master s degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5 8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Job Description

VAM Systems is currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

Job Description
VAM Systems is currently looking for
Business Intelligence Engineer
for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience
: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

• Managing day to day operational tasks and coordination across staff.

• Preparing financial, forecasts, sales, and warehouse reports.

• Supporting business intelligence through dashboards, data analysis, and KPI tracking.

• Assisting direct manager by providing actionable insights

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using SQL, Python, or R to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports using business intelligence tools (e.g., Tableau, Power BI) to visualize key metrics.
• Support the development of predictive models and statistical analyses.
• Collaborate with business stakeholders to understand their data needs and provide relevant insights.
• Document data sources, methodologies, and analysis processes.
• Identify opportunities for data quality improvements and process enhancements.
• Stay up-to-date with the latest trends and technologies in data analytics and business intelligence.
• Assist in the preparation of presentations and summaries of findings for management.
• Ensure data accuracy and integrity in all analytical outputs.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in SQL for data querying and manipulation.
• Familiarity with programming languages such as Python or R for data analysis is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Effective communication and interpersonal skills, with the ability to explain complex findings clearly.
• Ability to work independently and collaboratively in a remote team environment.

• Collect, clean, and transform raw data from various sources into usable formats for analysis.
• Perform data analysis to identify trends, patterns, and insights that can inform business strategies.
• Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI, Looker).
• Assist in the creation of ad-hoc reports and perform data mining as requested by business stakeholders.
• Support the maintenance and improvement of existing data models and reporting structures.
• Collaborate with business units to understand their data needs and provide relevant insights.
• Ensure data accuracy and integrity throughout the analysis and reporting processes.
• Participate in team meetings and contribute to the continuous improvement of data analysis methodologies.
• Learn and apply statistical techniques to analyze data effectively.
• Document data analysis processes, methodologies, and findings.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Basic understanding of data analysis principles and techniques.
• Familiarity with SQL for data extraction and manipulation.
• Exposure to data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and develop skills in data analysis and business intelligence.
• Ability to work effectively both independently and as part of a hybrid team.
• Prior internship or project experience in data analysis is a plus.